Package weka.classifiers.bayes
Class WAODE
java.lang.Object
weka.classifiers.Classifier
weka.classifiers.bayes.WAODE
- All Implemented Interfaces:
Serializable,Cloneable,CapabilitiesHandler,OptionHandler,RevisionHandler,TechnicalInformationHandler
WAODE contructs the model called Weightily Averaged One-Dependence Estimators.
For more information, see
L. Jiang, H. Zhang: Weightily Averaged One-Dependence Estimators. In: Proceedings of the 9th Biennial Pacific Rim International Conference on Artificial Intelligence, PRICAI 2006, 970-974, 2006. BibTeX:
For more information, see
L. Jiang, H. Zhang: Weightily Averaged One-Dependence Estimators. In: Proceedings of the 9th Biennial Pacific Rim International Conference on Artificial Intelligence, PRICAI 2006, 970-974, 2006. BibTeX:
@inproceedings{Jiang2006,
author = {L. Jiang and H. Zhang},
booktitle = {Proceedings of the 9th Biennial Pacific Rim International Conference on Artificial Intelligence, PRICAI 2006},
pages = {970-974},
series = {LNAI},
title = {Weightily Averaged One-Dependence Estimators},
volume = {4099},
year = {2006}
}
Valid options are:
-D If set, classifier is run in debug mode and may output additional info to the console
-I Whether to print some more internals. (default: no)
- Version:
- $Revision: 5516 $
- Author:
- Liangxiao Jiang (ljiang@cug.edu.cn), H. Zhang (hzhang@unb.ca)
- See Also:
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionvoidbuildClassifier(Instances instances) Generates the classifier.double[]distributionForInstance(Instance instance) Calculates the class membership probabilities for the given test instanceReturns default capabilities of the classifier.booleanGets whether more internals of the classifier are printed.String[]Gets the current settings of the filter.Returns the revision string.Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.Returns a string describing this classifierReturns the tip text for this propertyGets an enumeration describing the available options.static voidMain method for testing this class.voidsetInternals(boolean value) Sets whether internals about classifier are printed via toString().voidsetOptions(String[] options) Parses a given list of options.toString()returns a string representation of the classifierMethods inherited from class weka.classifiers.Classifier
classifyInstance, debugTipText, forName, getDebug, makeCopies, makeCopy, setDebug
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Constructor Details
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WAODE
public WAODE()
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Method Details
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globalInfo
Returns a string describing this classifier- Returns:
- a description of the classifier suitable for displaying in the explorer/experimenter gui
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listOptions
Gets an enumeration describing the available options.- Specified by:
listOptionsin interfaceOptionHandler- Overrides:
listOptionsin classClassifier- Returns:
- an enumeration of all the available options.
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setOptions
Parses a given list of options. Valid options are:-D If set, classifier is run in debug mode and may output additional info to the console
-I Whether to print some more internals. (default: no)
- Specified by:
setOptionsin interfaceOptionHandler- Overrides:
setOptionsin classClassifier- Parameters:
options- the list of options as an array of strings- Throws:
Exception- if an option is not supported
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getOptions
Gets the current settings of the filter.- Specified by:
getOptionsin interfaceOptionHandler- Overrides:
getOptionsin classClassifier- Returns:
- an array of strings suitable for passing to setOptions
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internalsTipText
Returns the tip text for this property- Returns:
- tip text for this property suitable for displaying in the explorer/experimenter gui
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setInternals
public void setInternals(boolean value) Sets whether internals about classifier are printed via toString().- Parameters:
value- if internals should be printed- See Also:
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getInternals
public boolean getInternals()Gets whether more internals of the classifier are printed.- Returns:
- true if more internals are printed
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getTechnicalInformation
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.- Specified by:
getTechnicalInformationin interfaceTechnicalInformationHandler- Returns:
- the technical information about this class
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getCapabilities
Returns default capabilities of the classifier.- Specified by:
getCapabilitiesin interfaceCapabilitiesHandler- Overrides:
getCapabilitiesin classClassifier- Returns:
- the capabilities of this classifier
- See Also:
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buildClassifier
Generates the classifier.- Specified by:
buildClassifierin classClassifier- Parameters:
instances- set of instances serving as training data- Throws:
Exception- if the classifier has not been generated successfully
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distributionForInstance
Calculates the class membership probabilities for the given test instance- Overrides:
distributionForInstancein classClassifier- Parameters:
instance- the instance to be classified- Returns:
- predicted class probability distribution
- Throws:
Exception- if there is a problem generating the prediction
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toString
returns a string representation of the classifier -
getRevision
Returns the revision string.- Specified by:
getRevisionin interfaceRevisionHandler- Overrides:
getRevisionin classClassifier- Returns:
- the revision
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main
Main method for testing this class.- Parameters:
argv- the commandline options, use -h to list all options
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